Albert Hung-Ren Ko
Artificial Intelligence · 2008
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it
Whom Albert Hung-Ren Ko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Albert Hung-Ren Ko overall
Papers from Albert Hung-Ren Ko's perspective
Ordered by how strongly the researchers Albert Hung-Ren Ko trusts endorse each paper. Same corpus, a different order for every researcher.
- Boosting the margin: A new explanation for the effectiveness of voting methods
- Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
- On Combining Classifiers
- Classifier selection for majority voting (Information Fusion)
- Switching between selection and fusion in combining classifiers: an experiment (IEEE Trans. Syst. Man Cybern. Part B)
- The Random Subspace Method for Constructing Decision Forests
- Diversity creation methods: a survey and categorisation (Information Fusion)
- Bagging Predictors
- Pattern Classification
- Programs for Machine Learning
Their papers
- From dynamic classifier selection to dynamic ensemble selection (2008) — 462 citations